The Year of Polar Prediction
The Year of Polar Prediction (YOPP) has the mission to enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, prediction, verification, user- engagement and education activities. The YOPP...
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Online Access: | https://epic.awi.de/id/eprint/43493/ https://epic.awi.de/id/eprint/43493/1/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf http://www.arcticobservingsummit.org/sites/arcticobservingsummit.org/files/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf https://hdl.handle.net/10013/epic.49936 https://hdl.handle.net/10013/epic.49936.d001 |
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ftawi:oai:epic.awi.de:43493 2023-05-15T14:27:57+02:00 The Year of Polar Prediction Goessling, Helge Jung, Thomas Klebe, Stefanie Gordon, Neil Bauer, Peter Bradley, Alice Bromwich, David H. Casati, Barbara Chen, Peter Chevallier, Matthieu Day, Jonathan J. Doblas-Reyes, Fancisco Fairall, Christopher W. Godoy, Oystein Holland, Marika Inoue, Jun Iversen, Trond Liggett, Daniela Ljubicic, Gita Massonnet, François Makshtas, Alexander Mills, Brian Nurmi, Pertti Perovich, Donald K. Reid, Philip Renfrew, Ian Smith, Gregory Stewart, Emma Svensson, Gunilla Tolstykh, Mikhail Yang, Qinghua 2016 application/pdf https://epic.awi.de/id/eprint/43493/ https://epic.awi.de/id/eprint/43493/1/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf http://www.arcticobservingsummit.org/sites/arcticobservingsummit.org/files/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf https://hdl.handle.net/10013/epic.49936 https://hdl.handle.net/10013/epic.49936.d001 unknown https://epic.awi.de/id/eprint/43493/1/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf https://hdl.handle.net/10013/epic.49936.d001 Goessling, H. orcid:0000-0001-9018-1383 , Jung, T. orcid:0000-0002-2651-1293 , Klebe, S. , Gordon, N. , Bauer, P. , Bradley, A. , Bromwich, D. H. , Casati, B. , Chen, P. , Chevallier, M. , Day, J. J. , Doblas-Reyes, F. , Fairall, C. W. , Godoy, O. , Holland, M. , Inoue, J. , Iversen, T. , Liggett, D. , Ljubicic, G. , Massonnet, F. , Makshtas, A. , Mills, B. , Nurmi, P. , Perovich, D. K. , Reid, P. , Renfrew, I. , Smith, G. , Stewart, E. , Svensson, G. , Tolstykh, M. and Yang, Q. (2016) The Year of Polar Prediction , Arctic Observing Summit 2016 . hdl:10013/epic.49936 EPIC3Arctic Observing Summit 2016 Article peerRev 2016 ftawi 2021-12-24T15:42:30Z The Year of Polar Prediction (YOPP) has the mission to enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, prediction, verification, user- engagement and education activities. The YOPP Core Phase will be from mid-2017 to mid-2019, flanked by a Preparation Phase and a Consolidation Phase. YOPP is a key component of the World Meteorological Organization – World Weather Research Programme (WMO-WWRP) Polar Prediction Project (PPP). The objectives of YOPP are to: 1. Improve the existing polar observing system (better coverage, higher-quality observations); 2. Gather additional observations through field programmes aimed at improving understanding of key polar processes; 3. Develop improved representation of key polar processes in coupled (and uncoupled) models used for prediction; 4. Develop improved (coupled) data assimilation systems accounting for challenges in the polar regions such as sparseness of observational data; 5. Explore the predictability of the atmosphere-cryosphere-ocean system, with a focus on sea ice, on time scales from days to seasons; 6. Improve understanding of linkages between polar regions and lower latitudes and assess skill of models representing these linkages; 7. Improve verification of polar weather and environmental predictions to obtain better quantitative knowledge on model performance, and on the skill, especially for user-relevant parameters; 8. Demonstrate the benefits of using predictive information for a spectrum of user types and services; 9. Provide training opportunities to generate a sound knowledge base (and its transfer across generations) on polar prediction related issues. The PPP Steering Group provides endorsement for projects that contribute to YOPP to enhance coordination, visibility, communication, and networking. This White Paper is based largely on the much more comprehensive YOPP Implementation Plan (WWRP/PPP No. 3 – 2014), but has an emphasis on Arctic observations. Article in Journal/Newspaper Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
The Year of Polar Prediction (YOPP) has the mission to enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, prediction, verification, user- engagement and education activities. The YOPP Core Phase will be from mid-2017 to mid-2019, flanked by a Preparation Phase and a Consolidation Phase. YOPP is a key component of the World Meteorological Organization – World Weather Research Programme (WMO-WWRP) Polar Prediction Project (PPP). The objectives of YOPP are to: 1. Improve the existing polar observing system (better coverage, higher-quality observations); 2. Gather additional observations through field programmes aimed at improving understanding of key polar processes; 3. Develop improved representation of key polar processes in coupled (and uncoupled) models used for prediction; 4. Develop improved (coupled) data assimilation systems accounting for challenges in the polar regions such as sparseness of observational data; 5. Explore the predictability of the atmosphere-cryosphere-ocean system, with a focus on sea ice, on time scales from days to seasons; 6. Improve understanding of linkages between polar regions and lower latitudes and assess skill of models representing these linkages; 7. Improve verification of polar weather and environmental predictions to obtain better quantitative knowledge on model performance, and on the skill, especially for user-relevant parameters; 8. Demonstrate the benefits of using predictive information for a spectrum of user types and services; 9. Provide training opportunities to generate a sound knowledge base (and its transfer across generations) on polar prediction related issues. The PPP Steering Group provides endorsement for projects that contribute to YOPP to enhance coordination, visibility, communication, and networking. This White Paper is based largely on the much more comprehensive YOPP Implementation Plan (WWRP/PPP No. 3 – 2014), but has an emphasis on Arctic observations. |
format |
Article in Journal/Newspaper |
author |
Goessling, Helge Jung, Thomas Klebe, Stefanie Gordon, Neil Bauer, Peter Bradley, Alice Bromwich, David H. Casati, Barbara Chen, Peter Chevallier, Matthieu Day, Jonathan J. Doblas-Reyes, Fancisco Fairall, Christopher W. Godoy, Oystein Holland, Marika Inoue, Jun Iversen, Trond Liggett, Daniela Ljubicic, Gita Massonnet, François Makshtas, Alexander Mills, Brian Nurmi, Pertti Perovich, Donald K. Reid, Philip Renfrew, Ian Smith, Gregory Stewart, Emma Svensson, Gunilla Tolstykh, Mikhail Yang, Qinghua |
spellingShingle |
Goessling, Helge Jung, Thomas Klebe, Stefanie Gordon, Neil Bauer, Peter Bradley, Alice Bromwich, David H. Casati, Barbara Chen, Peter Chevallier, Matthieu Day, Jonathan J. Doblas-Reyes, Fancisco Fairall, Christopher W. Godoy, Oystein Holland, Marika Inoue, Jun Iversen, Trond Liggett, Daniela Ljubicic, Gita Massonnet, François Makshtas, Alexander Mills, Brian Nurmi, Pertti Perovich, Donald K. Reid, Philip Renfrew, Ian Smith, Gregory Stewart, Emma Svensson, Gunilla Tolstykh, Mikhail Yang, Qinghua The Year of Polar Prediction |
author_facet |
Goessling, Helge Jung, Thomas Klebe, Stefanie Gordon, Neil Bauer, Peter Bradley, Alice Bromwich, David H. Casati, Barbara Chen, Peter Chevallier, Matthieu Day, Jonathan J. Doblas-Reyes, Fancisco Fairall, Christopher W. Godoy, Oystein Holland, Marika Inoue, Jun Iversen, Trond Liggett, Daniela Ljubicic, Gita Massonnet, François Makshtas, Alexander Mills, Brian Nurmi, Pertti Perovich, Donald K. Reid, Philip Renfrew, Ian Smith, Gregory Stewart, Emma Svensson, Gunilla Tolstykh, Mikhail Yang, Qinghua |
author_sort |
Goessling, Helge |
title |
The Year of Polar Prediction |
title_short |
The Year of Polar Prediction |
title_full |
The Year of Polar Prediction |
title_fullStr |
The Year of Polar Prediction |
title_full_unstemmed |
The Year of Polar Prediction |
title_sort |
year of polar prediction |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/43493/ https://epic.awi.de/id/eprint/43493/1/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf http://www.arcticobservingsummit.org/sites/arcticobservingsummit.org/files/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf https://hdl.handle.net/10013/epic.49936 https://hdl.handle.net/10013/epic.49936.d001 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_source |
EPIC3Arctic Observing Summit 2016 |
op_relation |
https://epic.awi.de/id/eprint/43493/1/Goessling-REVISEDRC-YOPP_AOS_WhitePaper_revised.pdf https://hdl.handle.net/10013/epic.49936.d001 Goessling, H. orcid:0000-0001-9018-1383 , Jung, T. orcid:0000-0002-2651-1293 , Klebe, S. , Gordon, N. , Bauer, P. , Bradley, A. , Bromwich, D. H. , Casati, B. , Chen, P. , Chevallier, M. , Day, J. J. , Doblas-Reyes, F. , Fairall, C. W. , Godoy, O. , Holland, M. , Inoue, J. , Iversen, T. , Liggett, D. , Ljubicic, G. , Massonnet, F. , Makshtas, A. , Mills, B. , Nurmi, P. , Perovich, D. K. , Reid, P. , Renfrew, I. , Smith, G. , Stewart, E. , Svensson, G. , Tolstykh, M. and Yang, Q. (2016) The Year of Polar Prediction , Arctic Observing Summit 2016 . hdl:10013/epic.49936 |
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1766302057153691648 |